The graph represents a network of 5,512 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 05 March 2021 at 01:47 UTC.
The requested start date was Friday, 05 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 47-minute period from Sunday, 28 February 2021 at 18:42 UTC to Thursday, 04 March 2021 at 05:30 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5512
Unique Edges : 4899
Edges With Duplicates : 13094
Total Edges : 17993
Number of Edge Types : 5
Mentions : 3409
Retweet : 5370
MentionsInRetweet : 7624
Tweet : 1396
Replies to : 194
Self-Loops : 1510
Reciprocated Vertex Pair Ratio : 0.0372625426205553
Reciprocated Edge Ratio : 0.0718478516083588
Connected Components : 805
Single-Vertex Connected Components : 395
Maximum Vertices in a Connected Component : 3224
Maximum Edges in a Connected Component : 14236
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.30138
Graph Density : 0.000280412917403088
Modularity : 0.425306
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 5,512 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 05 March 2021 at 01:47 UTC.
The requested start date was Friday, 05 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 10-hour, 47-minute period from Sunday, 28 February 2021 at 18:42 UTC to Thursday, 04 March 2021 at 05:30 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : smartcity OR smartcities
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[989] #rstats,#reactjs [797] #iot,#iiot [764] #python,#rstats [674] #ai,#python [516] ब,च [501] #reactjs,#iot [494] µà,ÿà [460] #analytics,#bigdata [451] šà,šà [450] द,ग Top Word Pairs in Tweet in G1:
[964] #rstats,#reactjs [745] #python,#rstats [681] #iot,#iiot [657] #ai,#python [489] #reactjs,#iot [443] #analytics,#bigdata [419] #analytics,#machinelearning [418] #machinelearning,#ai [396] #bigdata,#ai [298] #iiot,#bigdata Top Word Pairs in Tweet in G2:
[26] technology,outcome [26] outcome,indiadst [26] indiadst,funded [26] funded,project [26] project,developed [26] developed,#technology [26] #technology,cater [26] cater,need [26] need,#smartcities [26] smartcities_hua,mohua_india Top Word Pairs in Tweet in G3:
[31] smart,city [31] local,governments [30] governments,turning [30] turning,#iot [30] #iot,better [30] better,serve [30] serve,public [30] public,#cybersecurity [30] #cybersecurity,digital [30] digital,demands Top Word Pairs in Tweet in G4:
[40] smart,cities [32] smart,city [13] #sustainability,#smartcities [13] artificial,intelligence [10] appointed,detailed [10] detailed,master [10] master,planning [10] planning,preliminary [10] preliminary,engineering [9] weâ,re Top Word Pairs in Tweet in G5:
[434] µà,ÿà [426] šà,šà [425] ˆà,µà [218] µà,šà [218] šà,ÿà [214] ÿà,šà [213] ÿà,žà [213] žà,ˆà [213] šà,ˆ [213] ˆ,µà Top Word Pairs in Tweet in G6:
[53] smart,city [30] #smartcities,#futurecities [24] smart,cities [24] #smartcities,#smartcity [21] covid,19 [19] 19,affect [19] affect,uk [19] uk,core [19] core,cities [15] cities,#smartcities Top Word Pairs in Tweet in G7:
[494] ब,च [426] द,ग [425] च,द [70] म,त [70] त,र [70] र,म [70] म,airindia [70] airindia,ब [70] ग,lic [70] lic,ब Top Word Pairs in Tweet in G8:
[37] #smartcity,#chhattisgarh [29] #bilaspurairport,#smartcity [20] obs,alliancy_lemag [20] स,क [18] #fic,obs [15] #smartbuilding,#smartcity [15] #smartcity,quand [14] bilasaairport,dear [13] ˆà,ªà [13] pic,year Top Word Pairs in Tweet in G9:
[29] #opendata,#machinelearning [23] time,#opendata [23] #machinelearning,service [23] service,citizens [23] citizens,urban [23] urban,#mobility [23] #mobility,#yoda [23] #yoda,project [23] project,provides [23] provides,personalised Top Word Pairs in Tweet in G10:
[89] #iot,#iiot [73] #iiot,#iotpl [46] #iotpl,#iotcommunity [45] #tech,#technology [39] #iotcommunity,#intrernetofthings [33] #digital,#digitalcity [32] #intrernetofthings,#sensors [32] #5g,#smartthings [31] #sensors,#network [31] #technology,#5g Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: